{"id":"W4393159749","doi":"10.1609/aaai.v38i9.28927","title":"Exact ASP Counting with Compact Encodings","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Supercomputing Centre Singapore; Ministry of Education, India; National Research Foundation Singapore; National Research Foundation","keywords":"Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006706152,0.0002421635,0.0002791628,0.0002115663,0.0002141763,0.001087513,0.002035629,0.00006232672,0.00006928848],"category_scores_gemma":[0.000185343,0.0001530241,0.0001295932,0.001339448,0.000238113,0.0008551386,0.0002391375,0.0003660106,0.0001607008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466773,"about_ca_system_score_gemma":0.0001464993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030879,"about_ca_topic_score_gemma":0.000009807969,"domain_scores_codex":[0.9979628,0.00001295354,0.00042494,0.0006133062,0.0006203652,0.0003656062],"domain_scores_gemma":[0.9988284,0.0001470303,0.0002126831,0.0003436051,0.0003787722,0.00008953772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002220889,0.00006979754,0.0004529354,0.00009067691,0.00006224308,0.000003785521,0.001664793,0.00007272505,0.02486107,0.9132223,0.0008771857,0.05860031],"study_design_scores_gemma":[0.00002892589,0.0003616897,0.0002750045,0.001809043,0.00007830193,0.0000340936,0.001161166,0.4408831,0.5004288,0.05258123,0.001811484,0.0005471717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6131657,0.0003293904,0.2194621,0.02623724,0.001616877,0.000864654,0.00004453015,0.001412171,0.1368673],"genre_scores_gemma":[0.9969507,0.00002729237,0.002309085,0.0001314017,0.00008353694,0.000006067666,8.199228e-7,0.00001438214,0.0004767348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8606411,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447184882877637,"score_gpt":0.2922107326439561,"score_spread":0.2277388838151798,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}